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The mammalian cortex is a highly evolved brain region, but we still lack a comprehensive understanding of the molecular mechanisms underlying primate-specific neural circuits formation. In this study, we employed spatial transcriptomics to assess gene expression dynamics in the marmoset cortex during development, focusing on key regions and time points. Spatial transcriptomics identified genes that are sexually, spatially, and temporally differentially expressed in the developing marmoset cortex. Our detailed analysis of the visual cortex unveiled dynamic changes in gene expression across layers with distinct projections and functions. Notably, we discovered numerous axon guidance molecules with spatiotemporal expression patterns unique to the developing marmoset prefrontal cortex (PFC), which control PFC neuronal circuits. Among these molecules, (Protease, Serine, 12 (neurotrypsin, motopsin), when ectopically expressed in the mouse prelimbic cortex, caused similar changes in connectivity as observed in the marmoset A32 area. Furthermore, showed similar expression patterns in both marmoset and human PFC during development, suggesting parallels between marmoset and human brain development. The differential expression of axon guidance molecules in the developing PFC, varying by region, likely contributes to the formation of unique circuits observed in primates.
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http://dx.doi.org/10.21203/rs.3.rs-4082064/v1 | DOI Listing |
J Orthop Res
September 2025
Institute of Orthopaedic Research and Biomechanics, University Medical Center Ulm, Ulm, Germany.
Osteoporotic hip fractures are a considerable cause of pain and disability particularly among the elderly. Osteoporosis causes loss of bone stability, which in turn leads to an increased risk of fractures especially in metaphyseal bone. Moreover, the body's capacity for healing is diminished, resulting in prolonged recovery times following these fractures.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
Department of Molecular Life Sciences and SIB Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland.
Spatial omics allow for the molecular characterization of cells in their spatial context. Notably, the two main technological streams, imaging-based and high-throughput sequencing-based, give rise to very different data modalities. The characteristics of the two data types are well known in spatial statistics as point patterns and lattice data.
View Article and Find Full Text PDFNeurobiol Dis
September 2025
Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China. Electronic address:
The effect of recurrent seizures on the gradual deterioration of the white matter structural network and the potential molecular mechanisms that underlie the baseline and longitudinal changes in network topology in temporal lobe epilepsy (TLE) remain unclear. Therefore, we used diffusion tensor imaging (DTI) scans and neuropsychiatric assessments for 28 patients with unilateral TLE at baseline and follow-up, and for 28 healthy controls (HC). The topological properties of the structural network were calculated using graph theoretical analyses.
View Article and Find Full Text PDFSci Adv
September 2025
Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Cell type-specific regulatory programs that drive type 1 diabetes (T1D) in the pancreas are poorly understood. Here, we performed single-nucleus multiomics and spatial transcriptomics in up to 32 nondiabetic (ND), autoantibody-positive (AAB), and T1D pancreas donors. Genomic profiles from 853,005 cells mapped to 12 pancreatic cell types, including multiple exocrine subtypes.
View Article and Find Full Text PDFBackground: Functional and structural studies of the brain highlight the importance of white matter alterations in schizophrenia. However, molecular studies of the alterations associated with the disease remain insufficient.
Aim: To study the lipidome and transcriptome composition of the corpus callosum in schizophrenia, including analyzing a larger number of biochemical lipid compounds and their spatial distribution in brain sections, and corpus callosum transcriptome data.